Senior Manager, Product Data Science & Analytics

About Tripadvisor

We believe that we are better together and at Tripadvisor we welcome you for who you are. Our workplace is for everyone as is our people powered platform. At Tripadvisor we want you to bring your unique perspective and experiences so we can collectively revolutionize travel and together find the good out there.

Tripadvisor is the worlds largest online travel site visited by 390 million travellers each month and our Experiences business Viator is a fast-evolving and highly data-driven part of the organisation.

At Viator data is at the heart of how we build great products. We use it to understand our customers improve decision-making and drive measurable business impact.

About the role:

As a Senior Manager of Product Data Science you will be a key leadership figure within the Product Data Science organisation responsible for building and scaling a high-performing team of Analysts and Data Scientists embedded within Product domains.

You will not only deliver impact through your team but also raise the overall analytical and technical bar of the organisation ensuring data science experimentation and product analytics are consistently applied at a high standard across multiple product areas.

You will act as a force multiplier for decision-making quality improving how Product Engineering Design and Commercial teams use data to shape strategy prioritise work and evaluate impact.

What Youll Do

• Lead develop and grow a team of Product Analysts and/or Data Scientists ensuring consistently high performance strong technical standards and clear ownership of impact.
• Drive effective goal-setting planning and execution processes across Product Data Science bringing leadership and discipline to OKRs prioritisation and delivery against strategic objectives.
• Set and continuously raise the bar for analytical quality experimentation rigour and data science application across your teams ensuring outputs are robust actionable and decision-oriented.
• Act as a senior technical and strategic leader reviewing and shaping high-impact analytical work experimentation design and advanced modelling approaches where required.
• Partner closely with senior Product Engineering Marketing and Commercial leaders to define priorities shape roadmaps and ensure data science is embedded in strategic decision-making.
• Translate ambiguous business problems into structured analytical and data science problems ensuring your team delivers clear commercially meaningful recommendations.
• Drive adoption of scalable analytical frameworks experimentation standards and AI-enabled tooling to improve efficiency consistency and speed of decision-making across teams.
• Champion best practices in experimentation causal inference segmentation and customer understanding ensuring statistical and analytical rigor across the organisation.
• Build and maintain strong partnerships with Data Platform Data Engineering and other central data functions ensuring the team can effectively leverage shared capabilities while influencing the long-term data ecosystem.
• Build and evolve the teams capability through hiring coaching and performance management ensuring strong technical depth and leadership within the function.
• Identify and remove systemic blockers to high-quality analytics delivery improving tooling processes ways of working and organisational effectiveness across Product Data Science while leading change that enables the team to scale.
• Influence and align cross-functional stakeholders across multiple product domains ensuring clarity prioritisation and strong decision-making discipline.

Skills & Experience

• Experience: Extensive experience in data science or a similar quantitative role with a proven track record of supporting and influencing a product organization.
• Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep hands-on experience with statistical modeling (quasi) experimentation multi-arm bandit and a wide range of machine learning techniques (e.g. Regression Classification Clustering).
• Product Acumen: Demonstrated ability to define implement and operationalise crucial product and feature-level metrics from scratch.
• Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions drive product strategy and communicate complex insights effectively to cross-functional partners (e.g. Product Engineering Design).
• Scaling Impact: Experience scaling analytics or data science capabilities driving impact through the creation of automated processes self-service tools or data products.
• Critical Thinking: Leader in critical thinking your previous experience will demonstrate the analysis of available facts evidence observations and arguments in order to form a judgment by the application of rational skeptical and unbiased analyses and evaluation.
• Leadership: Outstanding leadership skills with experience in mentoring coaching and developing teams of analysts or data scientists.
• Collaboration & Communication: Exceptional collaboration and communication skills with the ability to engage influence and inspire cross-functional partners at all levels.
• Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product Engineering Data Platform and other central functions often without direct authority.
• Bachelors degree in Statistics Mathematics Data Science Engineering Physics Economics or a related quantitative field.

You could be an especially great fit if you have:

• Experience working within a high-scale technology company marketplace e-commerce business or travel technology organisation.
• A strong technical background in Product Data Science Data Science Experimentation or Machine Learning before moving into leadership roles.
• Experience building and scaling experimentation platforms measurement frameworks self-service capabilities or data products.
• Experience applying AI Large Language Models (LLMs) Agentic AI or automation technologies to improve analytics productivity and decision-making effectiveness.
• Experience leading organisational change improving analytical maturity and raising standards across multiple teams or functions.
• A reputation for raising the standard of thinking execution and decision-making in every team and organisation you join.

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